Hi, the boot function from the "boot" library seems to use an implausible quantity of memory; is this to be expected, or am I doing something wrong? Specifically, the vector I wish to bootstrap off is about 17000 entries long
length(fes) [1] 16988 bm <- function(x,indexes) mean(x[indexes]) then if I do, eg: b <- boot(fes,statistic=bm,R=10000) then R fairly rapidly shoots up to using about 40% of the RAM on this machine (which has 12G of the stuff). If I up the replications to say 50,000, then it chews all the available system memory and brings my computer to a grinding halt. I can see that that's probably far too many bootstrap resamplings, but I can't see why it needs so much memory... Regards, Matthew -- Matthew Vernon, Research Fellow Ecology and Epidemiology Group, University of Warwick http://blogs.warwick.ac.uk/mcvernon ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
